This article shares a step‑by‑step guide on planning, documenting, templating, configuring, and rule‑setting for the Cursor AI coding assistant, showing how thorough preparation transforms it from a source of buggy code into a reliable development partner.
This article outlines the purpose, benefits, planning, implementation steps, and key challenges of master data management in large enterprises, providing a comprehensive framework for integrating, cleansing, standardizing, and distributing core data across diverse business systems.
This article explains a practical relative estimation technique for agile user stories, describing how teams can sort story cards on a wall, assign Fibonacci-like size columns, handle common pitfalls, and apply the method in real projects while emphasizing proper story granularity and team discussion.
This article examines how managerial habits such as unnecessary meetings, early‑stage over‑staffing, and fragmented work schedules waste valuable human capital, and it argues that respecting employees' time is essential for efficient project and team management.
The article outlines how ChatGPT 4.0 can significantly improve product managers' workflow across research, planning, design, project execution, and iteration by providing prompt engineering techniques, practical examples, and actionable recommendations while emphasizing security and information‑risk considerations.
This guide explains why designers must oversee product experience, outlines a systematic four‑step framework (define, find, solve, push), details planning elements, project phases, problem‑gathering methods, classification of issues, value assessment, alignment practices, and how to establish a lasting experience‑optimization mechanism.
This guide outlines common project execution pitfalls and explains why a well‑structured kickoff meeting—covering clear goals, communication, role definition, and documented minutes—is essential for aligning stakeholders and driving successful agile project outcomes.
This article explains what a Gantt chart is, why it’s useful for project planning, and provides a detailed, illustrated tutorial on creating a March work schedule using the Yonghong Gantt tool, from data preparation to adding automatic date reminders.
This guide explains how to plan a Power Apps application by identifying the business problem (use case), understanding current processes, estimating the cost of manual work, and creating a project plan that aligns with user goals and organizational value.
This guide explains why estimating software development time is essential, outlines the benefits for clients and teams, identifies common pitfalls, and presents a step‑by‑step framework—including discovery, architecture, development, testing, and buffer phases—plus practical techniques such as bottom‑up estimation, planning poker, and experience‑based calculations to produce realistic schedules.
This article explains why accurate software development time estimation is essential, outlines the benefits for clients and teams, describes common challenges, and provides step‑by‑step methods—including discovery, architecture, development, testing, buffer time, and techniques like planning poker—to produce reliable project timelines.
The author, a PhD‑trained algorithm lead at NetEase Yanxuan, shares how his seven‑person team categorizes work, allocates resources, discovers problems, runs side experiments, and learns from failures to drive continuous improvement and business impact.
Software estimation is essential for making informed decisions on resource allocation, cost, and scheduling; this article explains why estimation matters, outlines effective estimation processes, highlights key factors such as granularity, shared assumptions, and collaboration, and provides practical questions to guide accurate and useful estimates.
This article presents a detailed glossary of core project management terminology, covering basic concepts, overall management, scope, schedule, resource, cost, procurement, quality, risk, and communication aspects, each paired with its standard English translation.
The article explains how a quality management plan serves as a formal blueprint to identify user needs, define standards, assign responsibilities, select tools, and continuously control processes, ultimately ensuring customer satisfaction and business success.
This article clarifies common agile planning myths, explains the two‑level project planning approach used in Huawei’s DevCloud—including roadmap and iteration planning—covers demand gathering, backlog management, sprint execution, and the importance of continuous feedback and adaptation in product management.
This article explains what software project milestones are, who creates them, when they’re needed, and how they help teams monitor progress, meet deadlines, manage risks, and ensure successful delivery of product features.
The article analyzes market data and surveys to show that developing a mobile app typically takes 3‑5 months, outlining four key development phases—research, feature definition, technical implementation, and testing—while offering practical insights for founders and developers.
The article walks through building an initial software project plan by translating effort estimates into a timeline, discussing ideal versus realistic weekly capacity, handling urgent issues, allocating testing time, identifying risks and assumptions, and adding buffer to produce a roughly nine‑week schedule.
This guide walks you through thoughtful project evaluation, detailed product requirement drafting, effective UI/UX design, appropriate technology selection, and practical front‑end and back‑end implementation tips to help solo developers successfully build and launch a web application.
The article explores why outsiders consistently underestimate software development effort, explaining that humans rely on intuitive cues like speed and volume which work for physical tasks but fail for intangible code, and argues that only experience can reliably gauge software complexity, while unexpected bottlenecks further complicate estimates.
The article explores why outsiders consistently underestimate software development effort, explaining that people rely on physical cues like volume and speed which don’t apply to code, and argues that only experience can provide reliable estimates despite inevitable unforeseen bottlenecks.
